Backpropagation Neural Network Applications for a Welding Process Control Problem

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dc.contributor.authorAktepe, Adnan
dc.contributor.authorErsoz, Suleyman
dc.contributor.authorLuy, Murat
dc.date.accessioned2020-06-25T18:06:43Z
dc.date.available2020-06-25T18:06:43Z
dc.date.issued2012
dc.departmentKırıkkale Üniversitesi
dc.description13th International Conference on Engineering Applications of Neural Networks -- SEP 20-23, 2012 -- Coventry Univ, Otaniemi, FINLAND
dc.descriptionLUY, Murat/0000-0002-2378-0009; Aktepe, Adnan/0000-0002-3340-244X
dc.description.abstractThe aim of this study is to develop predictive Artificial Neural Network (ANN) models for welding process control of a strategic product (155 mm. artillery ammunition) in armed forces' inventories. The critical process about the production of product is the welding process. In this process, a rotating band is welded to the body of ammunition. This is a multi-input, multi-output process. In order to tackle problems in the welding process 2 different ANN models have been developed in this study. Model 1 is a Backpropagation Neural Network (BPNN) application used for classification of defective and defect-free products. Model 2 is a reverse BPNN application used for predicting input parameters given output values. In addition, with the help of models developed mean values of best values of some input parameters are found for a defect-free weld operation.en_US
dc.description.sponsorshipIndustry Thesis Program of Ministry of Science, Industry and Technology of Turkey [00748.STZ.2010-2]en_US
dc.description.sponsorshipThis study is supported by a grant from Industry Thesis Program of Ministry of Science, Industry and Technology of Turkey (Grant No:00748.STZ.2010-2).en_US
dc.identifier.citationclosedAccessen_US
dc.identifier.endpage+en_US
dc.identifier.isbn978-3-642-32908-1
dc.identifier.issn1865-0929
dc.identifier.scopus2-s2.0-84880640837
dc.identifier.scopusqualityQ3
dc.identifier.startpage172en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12587/5331
dc.identifier.volume311en_US
dc.identifier.wosWOS:000312463700018
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherSpringer-Verlag Berlinen_US
dc.relation.ispartofEngineering Applications Of Neural Networks
dc.relation.ispartofseriesCommunications in Computer and Information Science
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectBackpropagation neural networksen_US
dc.subjectwelding process controlen_US
dc.subjectartillery ammunitionen_US
dc.titleBackpropagation Neural Network Applications for a Welding Process Control Problemen_US
dc.typeConference Object

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